Near-Light Color Photometric Stereo for mono-Chromaticity non-lambertian surface

• URL: http://arxiv.org/abs/2601.12666v1
• Date: Mon, 19 Jan 2026 02:26:08 GMT
• Title: Near-Light Color Photometric Stereo for mono-Chromaticity non-lambertian surface
• Authors: Zonglin Li, Jieji Ren, Shuangfan Zhou, Heng Guo, Jinnuo Zhang, Jiang Zhou, Boxin Shi, Zhanyu Ma, Guoying Gu,
• Abstract summary: We propose a framework that leverages neural implicit representations for depth and BRDF modeling under the assumption of mono-chromaticity.<n> Experiments on both synthetic and real-world datasets demonstrate that our method achieves accurate and robust surface reconstruction.
• Score: 67.4383975650003
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Color photometric stereo enables single-shot surface reconstruction, extending conventional photometric stereo that requires multiple images of a static scene under varying illumination to dynamic scenarios. However, most existing approaches assume ideal distant lighting and Lambertian reflectance, leaving more practical near-light conditions and non-Lambertian surfaces underexplored. To overcome this limitation, we propose a framework that leverages neural implicit representations for depth and BRDF modeling under the assumption of mono-chromaticity (uniform chromaticity and homogeneous material), which alleviates the inherent ill-posedness of color photometric stereo and allows for detailed surface recovery from just one image. Furthermore, we design a compact optical tactile sensor to validate our approach. Experiments on both synthetic and real-world datasets demonstrate that our method achieves accurate and robust surface reconstruction.

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